1 / 2018-02-22 06:10:04
Design of Fuzzy Membership Functions for Predicting Student’s Knowledge Performance
Fuzzy logic Controller, Membership Function, Student Model, ITS
全文待审
Designing the input/output membership function is the first major step in the three steps processes of a fuzzy logic controller. The process involves determining the most suitable fuzzy logic algorithm capable of transforming the crisp data entering the fuzzy controller and assigning appropriates fuzzy terms and their corresponding degree of membership in the categories. The shape of a membership function graph can take various representations such as trapezoidal, triangular, bell curves, singleton or any form that accurately enables the distribution of information within the system, in as much as the shape provides a region of transition between adjacent membership functions. The main goal of this paper is to propose a novel fuzzy membership function that represents the distribution and prediction of student’s knowledge performance in an intelligent tutoring system (ITS).
重要日期
  • 会议日期

    05月08日

    2018

    05月10日

    2018

  • 02月01日 2018

    摘要截稿日期

  • 03月20日 2018

    初稿截稿日期

  • 03月31日 2018

    初稿录用通知日期

  • 04月10日 2018

    终稿截稿日期

  • 05月10日 2018

    注册截止日期

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